Latest Report | Participation Agreement | API | Validation | Encryption
[last updated: June 3, 2020]
The table provides a summary of all algorithms measured on attack presentation classification error rate (APCER) when bona fide classification error rate (BPCER) is set to 0.01, across different morphing datasets. APCER, or morph miss rate, is the proportion of morphs that are incorrectly classified as bona fides (nonmorphs). BPCER, or false detection rate, is the proportion of bona fides falsely classified as morphs.
Detection-Error Trade-off Plots
Website
Detection-Error Trade-off Plots
Global Morph
Local Morph
Local Morph Colorized Average
Local Morph Colorized Match
Complete
Splicing
Combined
UNIBO Automatic Morphed Face Generation Tool v1.0